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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 9235
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    instances of citations or references to sources

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    phony
    -0.69
    odox
    -0.68
    away
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     backward
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    eez
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    isSpecialOrderable
    -0.60
    athed
    -0.59
    eco
    -0.59
    ãĥ¥
    -0.59
    ific
    -0.59
    POSITIVE LOGITS
     "â̦
    0.79
     although
    0.72
     "[
    0.71
     citing
    0.68
     Kinnikuman
    0.67
    uthor
    0.67
     "(
    0.66
     Fib
    0.66
     Mehran
    0.65
     "...
    0.64
    Activations Density 0.156%

    No Known Activations